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From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple cities

Zijian Hu Zhenjie Zheng Monica Menendez Wei Ma

交通研究通讯(英文)2025,Vol.5Issue(4):148-169,22.
交通研究通讯(英文)2025,Vol.5Issue(4):148-169,22.DOI:10.1016/j.commtr.2025.100222

From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple cities

From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple cities

Zijian Hu 1Zhenjie Zheng 1Monica Menendez 2Wei Ma1

作者信息

  • 1. Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Hong Kong,999077,China
  • 2. Division of Engineering,New York University Abu Dhabi,Abu Dhabi,PO Box 129188,United Arab Emirates
  • 折叠

摘要

关键词

Network-wide traffic flow/Cross-city estimation/Global open multi-source(GOMS)data/Graph neural network/Map images

Key words

Network-wide traffic flow/Cross-city estimation/Global open multi-source(GOMS)data/Graph neural network/Map images

引用本文复制引用

Zijian Hu,Zhenjie Zheng,Monica Menendez,Wei Ma..From global open multi-source data to network-wide traffic flow:A large-scale case study across multiple cities[J].交通研究通讯(英文),2025,5(4):148-169,22.

基金项目

The work described in this paper is supported by grants from the Research Grants Council of the Hong Kong Special Administrative Re-gion,China(Nos.PolyU/15206322 and PolyU/15227424).Monica Menendez acknowledges the support of the NYUAD Center for Inter-acting Urban Networks(CITIES),funded by Tamkeen under the NYUAD Research Institute Award CG001.The contents of this article reflect the views of the authors,who are responsible for the facts and accuracy of the information presented herein. (Nos.PolyU/15206322 and PolyU/15227424)

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